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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [3]
计算技术研究所 [2]
沈阳自动化研究所 [2]
西安光学精密机械研究... [2]
中国科学院大学 [1]
重庆绿色智能技术研究... [1]
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OAI收割 [11]
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期刊论文 [10]
会议论文 [2]
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2021 [2]
2020 [2]
2018 [1]
2017 [1]
2016 [3]
2015 [1]
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A Novel Approximate Spectral Clustering Algorithm With Dense Cores and Density Peaks
期刊论文
OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 13
作者:
Cheng, Dongdong
;
Huang, Jinlong
;
Zhang, Sulan
;
Zhang, Xiaohua
;
Luo, Xin
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/08/22
Clustering algorithms
Manifolds
Matrix decomposition
Sparse matrices
Partitioning algorithms
Approximation algorithms
Level measurement
Approximate spectral clustering
common neighborhood-based distance
dense cores
density peaks
geodesic distance
Remote sensing analysis of oilfield IoT based on density clustering
会议论文
OAI收割
Shenyang, China, November 8-11, 2021
作者:
Zhang T(张涛)
;
Fu DZ(付殿峥)
;
Xu YY(许原野)
;
Dong JY(董静雅)
  |  
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2021/12/13
Internet of Things
Data mining
Density clustering
Density peaks
Neighborhood
Multi-feature weighting neighborhood density clustering
期刊论文
OAI收割
NEURAL COMPUTING & APPLICATIONS, 2020, 卷号: 32, 期号: 13, 页码: 9545-9565
作者:
Xu, Shuliang
;
Feng, Lin
;
Liu, Shenglan
;
Zhou, Jian
;
Qiao, Hong
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2020/08/03
Clustering analysis
Multi-feature
Neighborhood density
Rough set
Granular computing
Self-adaption neighborhood density clustering method for mixed data stream with concept drift
期刊论文
OAI收割
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 卷号: 89, 页码: 14
作者:
Xu, Shuliang
;
Feng, Lin
;
Liu, Shenglan
;
Qiao, Hong
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2020/04/07
Data stream
Concept drift
Rough set
Clustering analysis
Neighborhood entropy
A robust density peaks clustering algorithm using fuzzy neighborhood
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 卷号: 9, 期号: 7, 页码: 1131-1140
作者:
Du, Mingjing
;
Ding, Shifei
;
Xue, Yu
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/10
Clustering analysis
Density peaks clustering
Fuzzy joint points
Fuzzy neighborhood relation
An Effective Density Based Approach to Detect Complex Data Clusters Using Notion of Neighborhood Difference
期刊论文
OAI收割
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 57-67
作者:
S. Nagaraju
;
Manish Kashyap
;
Mahua Bhattachraya
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/02/23
Density based clustering
neighborhood difference
density-based spatial clustering of applications with noise (DBSCAN)
space density indexing (SDI)
core object.
A Novel Spatial-Spectral Sparse Representation for Hyperspectral Image Classification Based on Neighborhood Segmentation
期刊论文
OAI收割
spectroscopy and spectral analysis, 2016, 卷号: 36, 期号: 9, 页码: 2919-2924
作者:
Wang Cai-ling
;
Wang Hong-wei
;
Hu Bing-liang
;
Wen Jia
;
Xu Jun
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2016/10/10
Hyperspectral image processing
Sparse representation
Neighborhood clustering
Neighborhood segmentation
Minimum reconstruction error
A New Spectral-Spatial Algorithm Method for Hyperspectral Image Target Detection
期刊论文
OAI收割
spectroscopy and spectral analysis, 2016, 卷号: 36, 期号: 4, 页码: 1163-1169
作者:
Wang Cai-ling
;
Wang Hong-wei
;
Hu Bing-liang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2016/09/14
Target detection
Spatial-spectral algorithm
Hyperspectral image processing
Neighborhood clustering
Statistical operators
A dynamic niching clustering algorithm based on individual-connectedness and its application to color image segmentation
期刊论文
OAI收割
PATTERN RECOGNITION, 2016, 卷号: 60, 页码: 334-347
Chang, DX
;
Zhao, Y
;
Liu, L
;
Zheng, CW
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2016/12/09
Clustering
Genetic algorithms
Niching
Connected individual
k-distance neighborhood
Image segmentation
An optimized initialization center K-means clustering algorithm based on density
会议论文
OAI收割
2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), Shenyang, China, June 8-12, 2015
作者:
Yuan QL(袁启龙)
;
Shi HB(史海波)
;
Zhou XF(周晓锋)
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2016/04/30
Clustering
K-means Algorithm
Initial Center Points
Neighborhood Density Distance